Resources
AI in Radiology: Opportunities and Challenges
Healthcare AI is on a rapid ascent, fueled by the industry’s quest to process vast quantities of data.
How AI/ML can help Radiology Departments with Workflow Efficiency
GE Healthcare’s Edison AI cuts through data silos to consolidate patient information rapidly and efficiently.
When Efficiency Improves, So Does ROI: The Business Case for Edison
The vast majority of radiology data goes unanalyzed or unused. How AI can reduce unexamined data, repeat tests and late notification of results.
How GE Healthcare Solutions Help Address Radiologist Burnout
Technology has driven a boom in radiology data, and radiologists are challenged to keep up. AI-powered assistance can close the gap to identify the key data they need to see.
A Snapshot of Radiology’s Many Inefficiencies
From the waiting room to diagnostic studies to communications between radiologists and physicians, artificial intelligence can make radiology faster and more efficient.
Mural Virtual Care Solution: A Better Platform for Protocol Compliance
By integrating protocols, care pathways and Early Warning Scores within a “single pane of glass,” Mural helps hospitals prioritize patient care based on complex data sets.
Improving Operations, Efficiency, and Finances in the Interventional Cardiology Lab
Tracking expensive cardiology supplies at the point of care can create inefficiency and waste. Targeted analytics from GE Healthcare’s Interventional Cardiology Insights eases strains on the supply chain.
How AI Can Enable Precision Health
Thanks to AI, healthcare providers are poised to channel vast amounts of data into precision care, reducing waste and improving service.